continuous authentication algorithms based on Keystroke Dynamics (Applied to the most frequently used Arabic words in e-mail messages)
Abstract
Most computer systems rely on the static user authentication which does not guarantee that whoever uses the system is the same one from the moment of login to the moment of logout, so, we need to have an authentication system that can verify whether the user has been changed or not, after the login is made. For this reason, the continuous authentication of various methods has been emerged to bridge this gap. The dynamic key of continuous authentication is one of these methods that can be easily applied in many aspects. The purpose of this paper is to examine the effectiveness of applying one of the continuous authentication algorithms to the user based on the dynamic of Arabic Language Keystroke for the development of security systems in the future. In this study, the algorithm has been applied to the most frequently used Arabic words in e-mail, where four of the timing characteristics were used to extract the features of the typing style of users on the keyboard. To classify users’ data, a measure of distance from the statistical approach, which is the Euclidean distance measure, was used. The results have shown that it is possible to authenticate users using continuous authentication based on the dynamics of the Arabic Language keys.
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